TY - BOOK AU - Azmy,Yousry AU - Sartori,Enrico ED - SpringerLink (Online service) TI - Nuclear Computational Science: A Century in Review SN - 9789048134113 AV - TK9001-9401 U1 - 621.48 23 PY - 2010/// CY - Dordrecht PB - Springer Netherlands KW - Engineering KW - Mathematics KW - Computer science KW - Nuclear engineering KW - Nuclear Engineering KW - Applications of Mathematics KW - Theoretical, Mathematical and Computational Physics KW - Computational Science and Engineering KW - Computational Mathematics and Numerical Analysis KW - Nuclear Energy N1 - Advances in Discrete-Ordinates Methodology -- Second-Order Neutron Transport Methods -- Monte Carlo Methods -- Reactor Core Methods -- Resonance Theory in Reactor Applications -- Sensitivity and Uncertainty Analysis of Models and Data -- Criticality Safety Methods -- Nuclear Reactor Kinetics: 1934–1999 and Beyond N2 - Nuclear engineering has undergone extensive progress over the years. In the past century, colossal developments have been made and with specific reference to the mathematical theory and computational science underlying this discipline, advances in areas such as high-order discretization methods, Krylov Methods and Iteration Acceleration have steadily grown. Nuclear Computational Science: A Century in Review addresses these topics and many more; topics which hold special ties to the first half of the century, and topics focused around the unique combination of nuclear engineering, computational science and mathematical theory. Comprising eight chapters, Nuclear Computational Science: A Century in Review incorporates a number of carefully selected issues representing a variety of problems, providing the reader with a wealth of information in both a clear and concise manner. The comprehensive nature of the coverage and the stature of the contributing authors combine to make this a unique landmark publication. Targeting the medium to advanced level academic, this book will appeal to researchers and students with an interest in the progression of mathematical theory and its application to nuclear computational science UR - http://dx.doi.org/10.1007/978-90-481-3411-3 ER -